Evidence for Heterogeneous Genetic Associations with Acute Lymphoblastic Leukemia (ALL) By Cytogenetics and Sex in High-Risk Patients Treated with Matched Unrelated Donor Allogeneic Blood or Marrow Transplant (URD-BMT)
Notice bibliographique
Résumé
Abstract Inherited genetic polymorphisms in ARID5B, GATA3, and IKZF1 have been reported to be associated with ALL and vary by cytogenetic subgroups. For example, ARID5B variants are associated with hyperdiploid B-ALL in pediatric patients, which occurs in approximately 30% of ALL patients and is a marker of good prognosis. In contrast, a variant in GATA3 (rs3824662) has been consistently associated with ALL regardless of cytogenetics. While associations by subtype and across age have been explored in ALL patients, the effect of sex on the association of germline variants with ALL has not been tested, despite the higher incidence and worse prognosis of ALL in males than females. We tested the association of previously reported ALL variants in a high-risk ALL population of URD-BMT recipients, assessing the association of these variants with different cytogenetic subgroups and for heterogeneity of effect by sex. Genotyping was performed using the Illumina Omni-Express BeadChip containing approximately 730,000 single nucleotide polymorphisms (SNPs). After quality control, cohort 1 (C1) and cohort 2 (C2) included 364 (C1) and 82 (C2) B-ALL cases of continental European ancestry and 2,229 (C1) and 809 (C2) controls (unrelated healthy donors). The sample size of non-European cases was not adequate for genetic analyses. Cases were a subset of the genome wide association study (GWAS) named Determining the Influence of Susceptibility COnveying Variants Related to one-Year mortality after BMT (DISCOVeRY-BMT) a parent GWAS study in collaboration with the Center for International Blood and Marrow Transplant Research. We tested SNPs within GATA3, IKZF1 and ARID5B for associations with disease status using logistic regression assuming an additive model adjusted for age. Analyses were done separately for the following B-ALL subgroups: hyperdiploid negative ALL, Ph-negative ALL, Abnormal cytogenetics and Normal cytogenetics. P-values for each cohort were combined using METAL software with weights proportional to the square root of the sample size(Pmeta). Sex-stratified analyses were performed using all B-ALL cases and by subgroup. Tests for heterogeneity using Cochran's Q method and I² statistic were used to calculate the percentage of variation across sex and cytogenetic group, abnormal versus normal). The study population consisted mostly of non-hyperdiploid and Ph negative B-ALL. The GATA3 variant conferred a 78% (P=2.9x10-10) and 82% (P=0.001) increased odds of B-ALL in C1 and C2, respectively, Pmeta=1.7x10-12 (Table 1). The GATA3 SNP was significantly associated, Pmeta < 5x10-8, with all subgroups except abnormal cytogenetics ALL. The SNP in IKZF1 wasassociated (Pmeta < 5x10-8) with B-ALL overall, Ph negative and normal cytogenetics ALL, with some evidence of heterogeneity in odds ratios (ORs) between normal and abnormal cytogenetics B-ALL in both cohorts. The ARID5B variant, previously shown to be strongly associated with pediatric ALL, showed weak or no evidence of association (Table 1). IKZF1 (rs11980379) associations were stronger across all associated subgroups in males (Table 2). When comparing ORs calculated for males and females in there was evidence of significant heterogeneity (Table 2) for B-ALL overall (P=0.02), non-hyperdiploid (P =0.02) and normal cytogenetics (P=0.004). GATA3 showed consistent association, with replication, across the cytogenetic subgroups analyzed. IKZF1 variant demonstrated differences by sex, with significant associations between this SNP and B-ALL, observed primarily in males, regardless of cytogenetics. Thus, sex-specific associations were not an artifact of underlying cytogenetic distributions between males and females. The variation between males and females indicates the IKZF1 variant may impact ALL risk differently in males and females, potentially explaining both the overall greater risk of ALL in males and the risk of ALL with worse outcomes. ARID5B associations have previously been associated with hyperdiploid ALL, however the majority of our high-risk study population is non-hyperdiploid, so ARID5B may be a marker of good risk ALL which is rarely treated with URD-BMT. Disclosures Hahn: Novartis: Equity Ownership; NIH/NHLBI: Research Funding. McCarthy:Sanofi: Honoraria, Membership on an entity's Board of Directors or advisory committees; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Onyx: Honoraria, Membership on an entity's Board of Directors or advisory committees; Bristol Myers Squibb: Honoraria, Membership on an entity's Board of Directors or advisory committees; The Binding Site: Honoraria, Membership on an entity's Board of Directors or advisory committees; Karyopharm: Honoraria, Membership on an entity's Board of Directors or advisory committees. Sucheston-Campbell:NIH/NHLBI: Research Funding.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».